MOHAMED ZRIG

Led the design and development of cvROck, an intelligent recruitment platform leveraging advanced NLP models and multi-source data scraping. – Built an automated data ingestion pipeline using Python, Selenium, and JavaScript to collect and structure candidate profiles. – Developed and deployed RESTful APIs with FastAPI hosted on AWS EC2, integrating generative AI services through AWS Bedrock. – Fine-tuned NLP models including SpaCy, CamemBERT, and LayoutLMv3 for improved semantic extraction from documents. – Managed and optimized a MySQL database to ensure scalability and reliability of the search engine

I led the development of a comprehensive data analytics solution, managing the full data lifecycle. This included implementing web scraping techniques to collect critical datasets, architecting and executing a robust ETL pipeline using Talend and SSIS for data cleansing, transformation, and integration. I designed and deployed dynamic Power BI dashboards to visualize key performance indicators across logistics, geography, fleet utilization, and revenue. Additionally, I built and operationalized predictive models to deliver forward-looking insights, driving strategic and operational decision-making through data-driven intelligence.

Developed a room reservation system using Spring Boot (backend) and Angular (frontend). – Designed and modeled a relational database using MySQL Server. – Wrote unit tests with JUnit and maintained CI pipelines. – Worked in Agile environment: participated in sprint planning, standups, and retrospectives.

implemented BI solutions for commercial data analytics and visualization. – Automated business workflows using Power Automate integrated with Microsoft Dynamics 365 Business Central. – Customized ERP modules to align with business requirements. – Strengthened skills in ERP data structures and business process modeling.